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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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                            <li class="last"><a href="group__shark__globals.html">Global functions</a></li>
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<div class="textblock">Here is a list of all functions with links to the classes they belong to:</div>

<h3><a id="index_b" name="index_b"></a>- b -</h3><ul>
<li>back()&#160;:&#160;<a class="el" href="classshark_1_1_data_view.html#af00a7bc78ffc60fcacedbe291b4d24e6">shark::DataView&lt; DatasetType &gt;</a></li>
<li>BarsAndStripes()&#160;:&#160;<a class="el" href="classshark_1_1_bars_and_stripes.html#a4aacf9ae2eb982898f45075e93d584d8">shark::BarsAndStripes</a></li>
<li>base()&#160;:&#160;<a class="el" href="classshark_1_1_scaled_kernel.html#ac5c3092e58aaf96feefbe3e51822e78a">shark::ScaledKernel&lt; InputType &gt;</a></li>
<li>baseRate()&#160;:&#160;<a class="el" href="classshark_1_1_binary_layer.html#aaf3d98e2d4e31b3656dc9635e7aeeeeb">shark::BinaryLayer</a></li>
<li>basis()&#160;:&#160;<a class="el" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">shark::KernelExpansion&lt; InputType &gt;</a></li>
<li>batch()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga73034ee5639176b0d45e1059859d0f0a">shark::Data&lt; Type &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#a4c811224fc77356555fcecfb5b41cb65">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="group__shark__globals.html#ga192f5eced10acf38f3ae723a3c400d98">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>batches()&#160;:&#160;<a class="el" href="group__shark__globals.html#ga4edf9849713708253a4d1f2d31e6187b">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#ga6c3b7d09e870412534ef27988b950fc6">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>batchSize()&#160;:&#160;<a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#a862d3a6d440f46551a810fafb39402c6">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_markov_chain.html#af08ad5f1c8a58c1c8e8981f480a560ba">shark::MarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_m_n_i_s_t.html#ae8a337edde7be1fa79586d97dd322aec">shark::MNIST</a>, <a class="el" href="classshark_1_1_tempered_markov_chain.html#a98e24129ec94644d01b644006bcdae91">shark::TemperedMarkovChain&lt; Operator &gt;</a></li>
<li>begin()&#160;:&#160;<a class="el" href="structshark_1_1_batch_3_01shark_1_1blas_1_1compressed__vector_3_01_t_01_4_01_4.html#a8e061f102977183d90c6da291ab7fcd0">shark::Batch&lt; shark::blas::compressed_vector&lt; T &gt; &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#a3e7c59021eff4745396ed9951c2f05ca">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="classshark_1_1_evaluation_archive.html#ab99cdfba0518a01012dbc818a87c495c">shark::EvaluationArchive&lt; PointType, ResultT &gt;</a>, <a class="el" href="classshark_1_1statistics_1_1_result_table.html#a45c52fe99fcb6389ea30d6541efec2fd">shark::statistics::ResultTable&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1statistics_1_1_statistics.html#aa6adcdd673621c217d95aa93c0f61dac">shark::statistics::Statistics&lt; Parameter &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#a98dd827f038cb5b040270fe7b04dd0bf">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a></li>
<li>beta()&#160;:&#160;<a class="el" href="classshark_1_1_energy_storing_tempered_markov_chain.html#ab07c1453c6cadb92927acfcf4354c5b0">shark::EnergyStoringTemperedMarkovChain&lt; Operator &gt;</a>, <a class="el" href="classshark_1_1_tempered_markov_chain.html#affbe3936aa5f1429657be37e260abce7">shark::TemperedMarkovChain&lt; Operator &gt;</a></li>
<li>beta1()&#160;:&#160;<a class="el" href="classshark_1_1_adam.html#afcabef3366290b075d51294876732613">shark::Adam&lt; SearchPointType &gt;</a></li>
<li>beta2()&#160;:&#160;<a class="el" href="classshark_1_1_adam.html#a13b7618dea5584ffd886c15858d02888">shark::Adam&lt; SearchPointType &gt;</a></li>
<li>bias()&#160;:&#160;<a class="el" href="classshark_1_1_binary_layer.html#a6d404978bec6ad12e2e4d9fb3e7a85f3">shark::BinaryLayer</a>, <a class="el" href="classshark_1_1_bipolar_layer.html#abc3c1b86b1ad2692712c0e4b34f0d15d">shark::BipolarLayer</a>, <a class="el" href="classshark_1_1_classifier.html#a9742c8125eb03f0e40281945dd98de46">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_gaussian_layer.html#a877687dcf1eb19c17c0a2c941e7bf0a5">shark::GaussianLayer</a></li>
<li>BiasSolver()&#160;:&#160;<a class="el" href="classshark_1_1_bias_solver.html#afafb19ac1d26e80b42df574068906ef0">shark::BiasSolver&lt; Matrix &gt;</a></li>
<li>BiasSolverSimplex()&#160;:&#160;<a class="el" href="classshark_1_1_bias_solver_simplex.html#a63c458c8a8636282d49b4f1cba6cbd00">shark::BiasSolverSimplex&lt; Matrix &gt;</a></li>
<li>binary()&#160;:&#160;<a class="el" href="classshark_1_1_one_versus_one_classifier.html#aa14ccce9b2bb1004e0d3165ca3c24094">shark::OneVersusOneClassifier&lt; InputType, VectorType &gt;</a></li>
<li>binaryToInt()&#160;:&#160;<a class="el" href="structshark_1_1_hypervolume_calculator_m_d_h_o_y.html#a6c778375e99721c6553b720de8ba2323">shark::HypervolumeCalculatorMDHOY</a></li>
<li>BinaryTree()&#160;:&#160;<a class="el" href="classshark_1_1_binary_tree.html#a50b781f4203ea4d3a9e1dc60a52bec4e">shark::BinaryTree&lt; InputT &gt;</a></li>
<li>BitflipMutator()&#160;:&#160;<a class="el" href="structshark_1_1_bitflip_mutator.html#afbc4c1396a28cc2b8f26317af44e2625">shark::BitflipMutator</a></li>
<li>BlockMatrix2x2()&#160;:&#160;<a class="el" href="classshark_1_1_block_matrix2x2.html#a4503961134dc4428dd9675c5c8289797">shark::BlockMatrix2x2&lt; Matrix &gt;</a></li>
<li>BOOST_SERIALIZATION_SPLIT_MEMBER()&#160;:&#160;<a class="el" href="classshark_1_1_i_serializable.html#a4560a94e8f4908fe8627e41e7d965735">shark::ISerializable</a></li>
<li>BOOST_STATIC_CONSTANT()&#160;:&#160;<a class="el" href="structboost_1_1serialization_1_1tracking__level_3_01shark_1_1_typed_flags_3_01_t_01_4_01_4.html#a1c7330570427386ec3c3ed5bcc5490a9">boost::serialization::tracking_level&lt; shark::TypedFlags&lt; T &gt; &gt;</a>, <a class="el" href="structboost_1_1serialization_1_1tracking__level_3_01std_1_1vector_3_01_t_01_4_01_4.html#a11bb9f9d1029c8ef233c618863b71281">boost::serialization::tracking_level&lt; std::vector&lt; T &gt; &gt;</a>, <a class="el" href="group__shark__globals.html#ga425774be1ecd7d42c890d68fe58c3aa1">shark::Data&lt; Type &gt;</a>, <a class="el" href="classshark_1_1_weighted_labeled_data.html#af260c63209f6881849b736c91fc000d3">shark::WeightedLabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_weighted_unlabeled_data.html#ad6c78becf3a0a703a506f17d9535e0b9">shark::WeightedUnlabeledData&lt; DataT &gt;</a></li>
<li>BoxBasedShrinkingStrategy()&#160;:&#160;<a class="el" href="structshark_1_1_box_based_shrinking_strategy.html#a80dbbcad0a023740c8d0bfa4a6ac4a99">shark::BoxBasedShrinkingStrategy&lt; Problem &gt;</a></li>
<li>BoxConstrainedProblem()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a5544fa68b725cb68c8af64b4133a7c74">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a></li>
<li>BoxConstrainedShrinkingProblem()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_shrinking_problem.html#ac8a3920dc82f084fa2bf75df70eb2134">shark::BoxConstrainedShrinkingProblem&lt; Problem &gt;</a></li>
<li>BoxConstraintHandler()&#160;:&#160;<a class="el" href="classshark_1_1_box_constraint_handler.html#ae234333cf7124b58f49a67b2bee42f61">shark::BoxConstraintHandler&lt; Vector &gt;</a></li>
<li>BoxedSVMProblem()&#160;:&#160;<a class="el" href="classshark_1_1_boxed_s_v_m_problem.html#a8646da44427a08f8262f7675bcfdb4b8">shark::BoxedSVMProblem&lt; MatrixT &gt;</a></li>
<li>boxMax()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#ad2f65f5e6c2917efadd23806ba823ff2">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_boxed_s_v_m_problem.html#a638209b50fe9c222fe9fe444339018f1">shark::BoxedSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_c_s_v_m_problem.html#a4b1679d10868333bf4d4c8b4b4d37ed6">shark::CSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#afc78269e1b3b3f0372018eb3172db25e">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>boxMin()&#160;:&#160;<a class="el" href="classshark_1_1_box_constrained_problem.html#a11b7f562555c6f3718b059eee25bf765">shark::BoxConstrainedProblem&lt; SVMProblem &gt;</a>, <a class="el" href="classshark_1_1_boxed_s_v_m_problem.html#adb721af815d4a5d0ec6a62f8aeb1f562">shark::BoxedSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_c_s_v_m_problem.html#ac5abe1188b5f7a69e12248ddf5cc960f">shark::CSVMProblem&lt; MatrixT &gt;</a>, <a class="el" href="classshark_1_1_svm_problem.html#aeb63064bffd6c4f4ff157a45535bb142">shark::SvmProblem&lt; Problem &gt;</a></li>
<li>budgetMaintenanceStrategy()&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#aacf277842f28d9d49b1aea197ba710ac">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>budgetSize()&#160;:&#160;<a class="el" href="classshark_1_1_kernel_budgeted_s_g_d_trainer.html#a1f1e8961c4e22246f2fe3d023335c571">shark::KernelBudgetedSGDTrainer&lt; InputType, CacheType &gt;</a></li>
<li>buildTree()&#160;:&#160;<a class="el" href="classshark_1_1_k_d_tree.html#a7ca41c2db8a6d814deef326dd0bbfa44">shark::KDTree&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_k_h_c_tree.html#a96ac23e4df78cfa576aae64ba7600b97">shark::KHCTree&lt; Container, CuttingAccuracy &gt;</a>, <a class="el" href="classshark_1_1_l_c_tree.html#a24332e2c05b6a959b8f98577f83ab88a">shark::LCTree&lt; VectorType, CuttingAccuracy &gt;</a></li>
<li>buildType()&#160;:&#160;<a class="el" href="classshark_1_1_shark.html#a468b025010bb4cbced92b7362f916d3a">shark::Shark</a></li>
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